Case Study: Amazon achieves faster, more accurate cash flow forecasting and liquidity optimization with Kyriba

Amazon ‘Thinks Big’ with Machine Learning Forecasting Solution

Amazon.com, Inc., the global e‑commerce and technology leader, faced a sudden surge in transactions during the COVID-19 pandemic that exposed the limits of its historical and quarterly cash‑forecasting methods. Forecasting cash flows across numerous business lines, currencies and countries became far more complex, driving a need for a scalable, data‑driven approach to manage capital and liquidity in real time.

Amazon’s treasury teamed with in‑house software engineers and data scientists to build a machine‑learning forecasting solution with a data lake and automated pipeline, evolving from a daily US cash tool to a 60‑day global forecast that outperforms traditional methods. The model enabled dynamic cash targets, better working‑capital management, reduced cash‑positioning time from eight hours to under 30 minutes, lowered reliance on multiple upstream systems, and delivered process efficiencies, automation and risk reduction — earning industry recognition for best‑in‑class forecasting.

Amazon